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Book review: Machine Learning, Neural and Statistical Classification Edited by D. Michie, D.J. Spiegelhalter and C.C. Taylor (Ellis Horwood Limited, 1994)

Published:01 January 1996Publication History
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Abstract

The book is based on the "StatLog" project which lasted from 1990 to 1993, and involved six academic and 6 industrial laboratories. Statisticians, AI researchers in machine learning, and neural net specialists conducted extensive, collaborative work on the task of classification. This well-edited book provides an up-to-date review of different approaches to classification, compares their performance on a wide range of challenging datasets, and draws conclusions on their applicability to realistic industrial problems.

References

  1. Setiono, R. and Liu, H., "Understanding neural networks via rule extraction. "In IJCAI-95, Proceedings International Joint Conference on Artificial Intelligence, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      cover image ACM SIGART Bulletin
      ACM SIGART Bulletin  Volume 7, Issue 1
      Jan. 1996
      22 pages
      ISSN:0163-5719
      DOI:10.1145/230062
      Issue’s Table of Contents

      Copyright © 1996 Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 January 1996

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